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Georgia Tech’s Magnus Egerstedt presents “Control of Multi-Robot Systems” as part of the IRIM Robotics Seminar Series. The seminar will be held in the Marcus Nanotechnology Building from 12-1 p.m. and is open to the public.

Abstract

The last few years have seen significant progress in our understanding of how one should structure multi-robot systems. New control, coordination, and communication strategies have emerged, and in this talk, we discuss some of these developments. In particular, we will show how one can go from global, geometric, team-level specifications to local coordination rules for achieving and maintaining formations, area coverage, and swarming behaviors. One aspect of this process concerns how users can interact with networks of mobile robots in order to inject new, global information and objectives. We will also investigate what global objectives are fundamentally implementable in a distributed manner on a collection of spatially distributed and locally interacting agents.

Bio

Magnus Egerstedt is the Schlumberger Professor in the School of Electrical and Computer Engineering, where he serves as associate chair for Research and External Affairs. After completing his Ph.D., he was a postdoctoral scholar at Harvard University.

As the director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab), Egerstedt conducts research in the areas of control theory and robotics, focusing on control and coordination of complex networks, such as multi-robot systems, mobile sensor networks and cyber-physical systems.

Egerstedt is the deputy editor-in-chief for IEEE Transactions on Network Control Systems and the past editor for electronic publications for the IEEE Control Systems Society. Additionally, he is a Fellow of the IEEE and a recipient of the National Science Foundation CAREER Award. He also received the HKN Outstanding Teacher Award, the Alumni of the Year Award from the Royal Institute of Technology and the Outstanding Junior Faculty Member Award from Georgia Tech's School of Electrical and Computer Engineering.